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  1. Friedrich-Alexander-Universität
  2. Technische Fakultät
  3. Department Werkstoffwissenschaften

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Institute of Materials Simulation

Website of the Institute of Materials Simulation

In page navigation: Teaching
  • Lectures Winter Term 2023/24
  • Lectures Summer Term 2023
  • Lectures Winter Term 2022/23
  • Information for Computational Engineering students
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  • Student lab room
    • Conditions

Student lab room

Student Lab

Room: 2.029
Dr.-Mack-Straße 77
90762 Fürth

Suitable for up to 10 students.

Opening hours
09:30 - 16:00,

Contact

Christof Schulze

System- und Netzbetreuer

Department of Materials Science and Engineering
Chair for Materials Simulation

Room: Room 2.027
Dr.-Mack-Str. 77
90762 Fürth
  • Phone number: +49091165078-65069
  • Email: christof.schulze@fau.de
  • Website: https://www.matsim.tf.fau.de/person/christof-schulze/

Office hours

09:00 - 16:30,

Practical application of the theoretical knowledge gained in lectures is crucial in the education of students. To that end, many of the the chair’s lectures are supplemented and extended by lab exercises and lab courses, respectively. To be able to hold these classes directly at the chair, WW8 has a lab room suitable for up to 10 students. The room is furnished ergonomically.

Student lab with one student

Equipment

1 Fujitsu Esprimo P910, Intel Core i5-3570 (4cores), 16 GB RAM
3 Fujitsu CELSIUS W580, Intel Xeon E-2278G (8 cores/16threads) 32 GB RAM, NVIDIA Quatro P400
2 Fujitsu CELSIUS W580, Intel Xeon E-2278G (8 cores/16threads) 64 GB RAM, NVIDIA Quatro P400
1 Fujitsu CELSIUS W580, Intel Xeon E-2278G (8 cores/16threads) 32 GB RAM, NVIDIA Quatro RTX 4000

GNU/Linux Fedora 36:

Open Source Software:

  • gcc 12.2
  • julia 1.7.3
  • git
  • Gimp
  • GNU Octave
  • Blender 3.3.0
  • Inkscape
  • Texstudio
  • Texmaker
  • LibreOffice
  • Python 3.10 (2.7, 3.6, 3.7, 3.8, 3.9, 3.11)
  • Mayavi 2
  • HDFView
  • Paraview (4.0.1, 4.3.0, 5.5.2, 5.7.0, 5.9.0, 5.10)
  • code-aster
  • Elmer FEM
  • OpenSCAD
  • Ovito
  • Salome 9.7.0, 9.9.0 (meca 2020.0.1)
  • Handbrake

Other Software:

  • FAUbox
  • Codeium
  • Zoom
  • Abaqus/CAE 2018, 2020, 2021
  • Matlab Teaching R2022b
  • Wolfram Mathematica 12.2, 13,0

Parallel Computers

Increased computational capacity can be achieved by the use of multiple processing cores.  To develop and test ideas and simulations, the chair owns multiple systems which are designed for parallel computing.

 

1 Intel Xeon 12 cores/24 threads  48 GB RAM
1 AMD Epyc 24 cores/48theads  256 GB RAM
1 Intel Xeon 12 cores/24 threads  192 GB RAM
1 AMD 48 cores 512 GB RAM
1 Intel Xeon 12 cores/24 threads 48 GB RAM
Friedrich-Alexander-Universität Erlangen-Nürnberg
Institute of Materials Simulation

Dr.-Mack-Str. 77
90762 Fürth
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